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How much do grid computing jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for grid computing in the United States is $79.33, according to ZipRecruiter salary data. Most workers in this role earn between $75.72 and $82.93 per hour, depending on experience, location, and employer.

What is grid computing?

Grid computing is a distributed computing model that connects multiple computers, often geographically dispersed, to work together on complex tasks or large-scale processing. This system allows for the sharing of resources such as processing power, storage, and data across different organizations or locations. Grid computing is commonly used for scientific research, data analysis, and solving problems that require significant computational resources. By enabling resource pooling and task distribution, grid computing can significantly increase efficiency and reduce costs compared to traditional supercomputing methods.

What are some common challenges faced when working in a grid computing role, and how can they be addressed?

Professionals in Grid Computing often encounter challenges such as resource allocation, system interoperability, and managing large-scale distributed data. Addressing these issues requires strong problem-solving skills and familiarity with middleware platforms that facilitate communication between heterogeneous systems. Collaborating closely with network engineers, developers, and data scientists is essential to ensure seamless integration and optimal performance. Staying updated on emerging technologies and best practices can also help mitigate these challenges.

What are the key skills and qualifications needed to thrive as a grid computing specialist, and why are they important?

To thrive as a Grid Computing Specialist, you need a strong background in computer science, distributed systems, and network infrastructure, typically supported by a relevant degree. Familiarity with grid middleware (such as Globus Toolkit), high-performance computing clusters, and scripting languages like Python or Bash is important, and certifications in cloud or distributed computing can be advantageous. Excellent problem-solving skills, teamwork, and clear communication are crucial for collaborating across technical and research teams. These competencies ensure efficient resource management, system reliability, and successful execution of large-scale computational tasks.

What is the difference between Grid Computing vs Network Administrator?

AspectGrid ComputingNetwork Administrator
Required CredentialsTypically requires degrees in computer science, engineering, or related fields; certifications like CCNA, CompTIA Network+Same as Grid Computing: degrees in IT or related fields; certifications like CCNA, CompTIA Network+
Work EnvironmentDistributed computing environments, data centers, research institutionsCorporate offices, data centers, network operation centers
Industry UsageResearch, scientific computing, large-scale data processingBusiness networks, IT infrastructure management, enterprise networks

While both roles require networking knowledge and similar certifications, Grid Computing focuses on managing distributed computing resources for large-scale processing, whereas Network Administrators oversee and maintain organizational network infrastructure.

Is grid computing still relevant?

Grid computing remains relevant for organizations that require large-scale resource sharing and high-performance computing, especially in scientific research and data analysis. It involves managing distributed resources and often requires skills in network security, system administration, and middleware tools. While cloud computing has grown in popularity, grid computing continues to be used in specific sectors with legacy systems or specialized needs.

What are examples of grid computing?

Grid computing involves connecting multiple computer resources to work together on large-scale tasks. Examples include scientific research projects like the Large Hadron Collider, SETI@home, and climate modeling, which require significant processing power distributed across many systems. Professionals in grid computing often work with middleware tools such as Globus or Unicore to manage resources efficiently.
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Grid Computing jobs near you
Infographic showing various Grid Computing job openings in the United States as of September 2026, with employment types broken down into 71% Full Time, and 29% Contract. Highlights an 72% In-person, 14% Hybrid, and 14% Remote job distribution, with an average salary of $165,000 per year, or $79.3 per hour.

Quantum Software Engineer - Energy Grid Optimization

Chicago, IL • On-site

Infleqtion
See more jobs at Infleqtionexternal

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 10 days ago

Job description

We are seeking a Quantum Software Engineer with expertise in quantum optimization algorithms and quantum error correction techniques and an interest in applying that expertise to energy grid optimization problems.
Job Responsibilities
The duties and responsibilities outlined below include essential functions of the role. Depending on business needs, this role may perform a combination of some or all of the following duties. Duties, responsibilities, and activities may change, or new ones may be assigned:
  • Conduct R&D toward cutting-edge advances in quantum technology with a focus on applications to energy grid optimization
  • Write and test code to apply quantum algorithms to energy grid optimization problems
  • Interface and collaborate with external groups interested in using quantum computing to solve energy grid optimization problems
  • Contribute to development of government and commercial energy grid optimization proposals
  • Collaborate with experimental physicists and software engineers to bridge the gap between theoretical concepts and practical implementation
  • Engage with the broader scientific community by publishing research findings in scientific journals and presenting at conferences
  • Stay up to date with the latest developments in both quantum algorithms and energy grid optimization
  • Provide guidance and support to other team members, fostering a collaborative research environment

Requirements
Required Qualifications
  • BS or MS in Computer Science, Physics, Applied Mathematics, Electrical Engineering, or a closely related field
  • High proficiency in programming, with fluency in Python preferable. Proficiency in alternative languages (e.g., C/C++ or Julia) with the ability to rapidly upskill in Python.
  • Experience with quantum algorithms used for optimization applications: QAOA, IQP circuits, quantum annealing, etc.
  • Familiarity with theoretical aspects of quantum optimization algorithms: parameter transfer, barren plateaus, classical optimization algorithms, etc.
  • Experience with quantum error correction and partial quantum error correction techniques: iceberg codes, encoding, decoding, etc.
  • Familiarity with energy grid optimization: unit commitment, N-k contingency, etc.
  • Experience optimizing quantum circuits: mapping/routing, gate decomposition, etc.
  • Experience with both noiseless and noisy simulation of quantum circuits
  • Experience running quantum circuits on quantum hardware and analyzing the results thereof.
  • Experience with open-source quantum software frameworks, such as Cirq or Qiskit. Ideal candidates will have experience not only using these libraries but also modifying them.
  • Demonstrated ability to work and communicate will all levels of an organization. Professional-level communication skills, including verbal, written, and presentation skills.
  • Demonstrated ability to work comfortably in a highly collaborative, cross-functional, team-oriented, and matrixed environment.
  • Desire and demonstrated ability to thrive and produce results in a fluid, dynamic, and fast-paced environment.
  • Demonstrated ability to learn new and complex topics quickly.
  • Resourceful problem-solver who collaboratively identifies effective paths forward with demonstrated expertise in executing productization efforts.
  • Passion for solving complex problems and challenges in a highly technical and scientific environment.
  • Ability to be in the office any three days per week.
  • Ability to travel domestically and potentially internationally up to 10%.

Preferred Qualifications
  • PhD in quantum computation, physics, computer science, or a directly related field
  • Familiarity with concepts in quantum computing such as error correction, fault tolerance, native gate decomposition, qubit mapping and routing, and variational quantum algorithms.
  • Experience with advanced open-source quantum software frameworks such as Stim
  • Familiarity with best practices of professional software engineering such as coverage, integration tests, type checking, unit tests, and version control
  • Experience with backend development with tools such as FastAPI for web frameworks and PostgreSQL/SQLAlchemy for databases.
  • Experience with cloud development, especially on GCP and AWS.
  • Familiarity with CI/CD, automated actions, issue tracking, version control, and other features on GitHub.
  • Familiarity with security core best-practices such as access control, encryption at rest, key rotation, and logging
  • Exposure to or interest in front-end / GUI development (e.g., React, JavaScript, HTML/CSS, PyQt).

Notice to Recruitment Agencies:
Infleqtion does not accept unsolicited resumes from agencies. Infleqtion is not responsible for any fees related to unsolicited resumes.
Benefits
  • Salary range: 140000-182000 USD/year
  • 100% company-paid medical, dental, vision, short/long-term disability
  • Employer-funded Health Savings Account
  • Unlimited PTO
  • 401(k) match
  • Company-paid Life and AD&D Insurance
  • Flexible Savings Account
  • Paid FMLA, Maternity/Paternity Leave
  • Employee Assistance Program
  • Student Loan Repayment
  • Equity Program

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